Segmentation of lung region based on using parallel implementation of joint MGRF: Validation on 3D realistic lung phantoms

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2013, Pages 864-867

  Soliman, Ahmed ^a   Khalifa, Fahmi ^a   Alansary, Amir ^a   Gimel'Farb, Georgy ^b   El Baz, Ayman ^a  

^a University of Louisville   (United States)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

Gaussian Scale Space; Lung Segmentation; Real Synthetic Phantoms

Indexed keywords

COMPUTER AIDED DIAGNOSTICS; GAUSS-MARKOV RANDOM FIELDS; GAUSSIAN SCALE SPACE; LUNG SEGMENTATION; PARALLEL IMPLEMENTATIONS; REAL SYNTHETIC PHANTOMS; RECEIVER OPERATING CHARACTERISTICS; SIMILARITY COEFFICIENTS;

BIOLOGICAL ORGANS; COMPUTERIZED TOMOGRAPHY; GAUSSIAN DISTRIBUTION; HISTOLOGY; IMAGE SEGMENTATION; ITERATIVE METHODS; MARKOV PROCESSES; MEDICAL IMAGING; TISSUE;

THREE DIMENSIONAL;

EID: 84881656032     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2013.6556612     Document Type: Conference Paper

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